The results of experiments on both multi-product retrieval and identical-product retrieval tasks show the superiority of our EGE-CMP over the SOTA cross-modal baselines, such as ViLBERT [1]}, CLIP [2]}, UNITER [3]}, CAPTURE [4]} and so on, on all major criteria by a large margin.
Moreover, extensive ablation experiments are conducted to demonstrate the generalizability of EGE-CMP and investigate various essential factors of our proposed task.
Finally, the quantitative and qualitative results intuitively prove the entity-graph constructed by caption itself can enhance the representation capability of the transformer models.
